skysight-inc/HackerNews huggingface dataset:
> When prices rebounded in early 2020s, there was a lot of scar tissue in the industry about overproduction. Producers are now extremely conservative

In corporate America generally, it seems to be a widespread strategy to limit supply and drive up prices. Sometimes it's done explicitly and illegally, such as in rental housing (look up RealPage). Is there evidence that it's particular to shale production?

> I think the typical Democrat-Party view that "oil bad" and "oil corrupt" lacks nuance.

You said it, then said it lacks nuance.
At Google I started to forget if I could even build things anymore. Doubted I would be able to pick up the skill of solving problems again if I left the company. I had strange and hard to interpret nightmares after realizing the company’s PR department had sold me a lie. At this point they are a traditional company.

Thankfully I quit and the new job has been great.
Good points - sleep walking, even general absent-mindedness. In its most extreme form: https://en.wikipedia.org/wiki/Philosophical_zombie
A nitpick, maybe, but one thing that bothered me about Shōgun was that it wasn't filmed in Asia. The landscape, plant life, and climate was all wrong. All that effort spent on authenticity, and it was filmed in front of an inauthentic backdrop.

Plus I live in the Pacific NW, which is where most of Shōgun was filmed, so seeing my "backyard" tended to pull me out of the fantasy.
2 mins to charge a 40 kWh battery is 1.2 MW. I can't see that happening any time soon.
> This is where things start to get interesting. At first, I found the concept of probabilistic primality tests strange and tried to look for deterministic algorithms that could handle huge numbers. I did find two - APR-CL and ECPP. Both of these are so mathematically complex that I could not make sense of their research papers at all, and there isn't much accessible information about them on the internet for someone like me who is bad at math.

> After taking a look at discussions online, OpenSSL's source code and recommendations by NIST, I realized that almost everyone including RSA uses probabilistic algorithms. The catch is that if implemented properly, these algorithms have an extremely low error rate which is negligible.

For a given maximum number range, it's trivial to make Miller-Rabin actually deterministic. You just choose bases that have been proven to together exclude all pseudoprimes in the given range.

(It doesn't even end up being a long list, Miller-Rabin kicks ass)
I remember a 60 Minutes segment some time back on batteries made out of saltwater and dirt. They would be ideal for grid scale batteries, because although the energy density of those batteries is low, that's irrelevant because very large batteries could be cheap and easy to make. The batteries don't have to be portable.

This is what baffles me about Li batteries for grid use. Using high energy / weight is very costly and completely irrelevant for grid batteries.
Same as generating a 2 digit number. If the first digit is a zero, it is not a 2 digit number.
Some tools are very standardized. Basic modern lathes are all very similar to Maudsley's original precision lathe, which is in the Science Museum in London and worth a look. Someone who knew how to use Maudsley's original lathe would be able to use a modern non-CNC lathe with about five minutes of checking it out.

But faced with a basic modern 3-axis CNC mill, they'd be totally lost.
Getting rid of all the tar and chemicals takes a significant daily toll on the body, which has a definite caloric cost.
In my experience the miles they advertise are no where near the reality. My Model Y has never given me 320 miles on a charge and it's not like gas stations where you can hit one up at the last moment, on a trip you gotta start finding a charger once you hit around 20-25% charge left.
What’s not to understand? Nation states (read: their 3 letter agencies) probably don’t care if you’re torrenting movies.
I don’t think most of the startups are trying to create anything resembling AGI.

However, on that subject I would still throw out a counter argument. AGI might not be a matter of “throwing infinite money at the problem”. It might be that the building blocks already exist but need to be arranged in the right combination under the right circumstances to create autonomous agents.
Taiwan experiences cyberattacks each day. We should pay attention
> idea of a company being a person-like legal entity with its own assets and liabilities is capitalistic

It independently evolved in Rome and India to provide legal personhood to cities, guilds, public works and later, in the former, the Catholic Church.
In the context described, it's acting as a tool for a doctor. AI scribes are not conducting experiments.
Being able to build multiple different forms of debug inspector that you can use as preferred is a huge feature to me, and trying to provide building blocks so you can build them faster strikes me as an excellent idea.

(I recall once talking to a java dev who considered perl a complete disaster for debugging because ... whatever tool he'd picked to help him produced debug output that suited neither the codebase nor his brain, and the java code he was working with at least managed representations that suited the codebase ... meanwhile, I often get frustrated at how tricky I found it to convince java to let me have multiple different debug stringifications ... such is life ;)
I think it's fair to implement complex preprocessing and external integrations (such as memory). But you can actually prototype llms at a tiny scale! A cluster of 3090's (SLI) or 4090's with some kind of splicing (4-8 input(s) are spread across 4 gpus and then merged together). The cost to entry is roughly around $15k.

While you won't be making anything even close to llama1 it is possible to develop technologies that can be used to train llama4.

I've personally been using gh copilot and it's an amazing tool for the 'braindead' parts of my workflow. I usually let it generate a rough template and then fill in the parts by entirely replacing them, but it at times manages to do exactly what I wanted when working in larger files which already have much of the functionality defined and it's rather trivial to figure out the rest.

Copilot does what it says, it's a copilot. It feels like I am iterating over a problem with a 2nd developer suggesting ideas as I code.
This is a family of 5 in the mid-Europe. We don't use electricity for heating or cooling, and we're still burning gasoline to drive around. These are pretty normal numbers around here.
wait, why isn't there a dating app that has this?
Did they really understand the link between poo and sickness? Sounds more like some sort of insult to me.
Advanced solar and wind inverters can also push back on grid changes to mimic inertia.

Also I'd say the inertia in a normal wind turbine doesn't count because it's not tied into the grid frequency.
That's a powered scooter, not an electric wheelchair. They may look the same to a layperson, but they're not - one is highly regulated and has a lot of people making a lot of money off them, the other is a scooter.
He also creates the first (at least that I could find) instance of a auto-regressive (markovian) language model as a clarifying example in the first 10 pages :)
I already have a weekly planner I put in my traveler's notebook. This is a good idea! I already have a boolean "did I do it" tracker, but it would be nice to see the numbers go up :D Maybe put it in a spreadsheet.
It's very likely that we'll end up with tiered batteries in EV's before long. Some amount of the capacity will be fast charge/discharge, some amount of it will be capacity with slower charge/discharge with a higher density available.

Think of it like modern SLC backed QLC flash storage. As long as the usage profile fits inside of the cache, it runs as though the entire system is cache.
They easily do. Discharge rates are typically higher than charge rates. For stationary batteries it's all easier due to being able to have larger, more parallel batteries, and better cooling when weight is not a concern.

Battery-backed charging stations are already common, because it allows use of cheaper grid interconnection, and use of cheaper off-peak or renewable energy.
This is a good point. It doesn't have to be Mullvad but it's almost guaranteed based on what we've seen in the history (see CIA + swiss crypto company) that some of the major VPN providers are managed by intelligence agencies. Either VPN companies were bought via shell companies after reaching certain market share or they were even developed
from the scratch.
I want to believe that hoverboards are a lower bar we could achieve.
> in the USA there's a visible cohort of people being marginalised and sent into a life of despair

This is important but not in this context. When the global stakes are cultural oblivion, genocide, and the destruction of entire nations, focusing on American homelessness or incarceration is at best cultural narcissism but more often than not it’s also equivocation and sometimes even apologetics for genocidal regimes.
A counter example: in nginx I’ve used debug_connection on more then one occasion on production servers with hundreds / thousands requests per second and it did provide useful hints.
I fully recognized that would be required when I was in that situation. The TV show Severance kept coming to mind. I think I only saw a couple of episodes and the basic premise of dividing your mind between work and home was too real and I had to stop.

Thankfully I had an alternative and went back to startups. I could absolutely never accept dividing my brain like that, steeping in cognitive dissonance and just letting myself rot inside. Once you’ve felt the good life - where work is play and learning happens all day long - there’s no amount of money that can be accepted to lose that.
This looks amazing and I was surprised it worked really good on mobile too!
Very interesting that it's coming from Google. I did my masters in tokamak simulation, so my first question is about performance. Python is very rarely used in this space just for performance reasons. Even though Python can call out to BLAS or whatever, it's still usually worth it to code in Fortran or C or maybe Julia.
> Capitalism refers to the system of individuals pooling money together (capital) to start a venture that they couldn't if they acted separately.

That's one aspect of capitalism, yes. But in capitalism as it is currently practiced, most of the people who are accumulating capital aren't people that are trying to start new ventures. They are people that are already rich but think they aren't rich enough, who are unable to start new ventures themselves because they have no actual skills at providing valuable products or services, so instead they find some existing venture and siphon off all its wealth. (This pattern is not new, btw; it's the same way the "robber barons" in the late 19th century operated.)

> In a free marked that is absent of regulatory hurdles, it is far from guaranteed that costs would be affordable.

Nothing is ever "guaranteed". But the article under discussion makes it obvious that with regulations in place, not only are costs not affordable, but even the very existence of products meeting customer needs is not happening. A free market couldn't possibly do any worse.

> In a completely free market, devoid of regulation, wheelchair makers can get together and fix prices. Or buy each other.

This would only happen if it were economically more efficient for wheelchairs to be made by a monopoly. I strongly doubt that is the case. It's not the case for the vast majority of products and services. If it's not economically efficient, the monopoly (or price-fixing cartel) will simply be out-competed in a free market, because it will have no way of keeping other companies from producing at a lower cost.

Historically, virtually all monopolies have been the result of government interference. (The original meaning of the word "monopoly" was a royal grant of the exclusive privilege to sell a particular product or service.) Most large corporations today are not the size they are because that is the most economically efficient way to deliver their products or services, but because it's the best way to buy government favors.
Asking "give me options for" is one of my go-to prompts for this kind of thing.

I just tried "Give me options for converting XML to JSON" and XSLT was 5th out of the 6 it gave me:

https://chat.openai.com/share/85aa3e93-f557-426c-b0ce-f3bce7...
I think you completely misread GP...
> The officials each responded with “that very tired mantra: ‘But the virus is worse,’” Dr. Murphy recalled. “Yes, the virus is worse, but that doesn’t obviate doing research to make sure that there may be other options.”
I guess programming itself isn’t absurd in the same sense that law isn’t absurd if you look at it through the lens of logic.

But that’s only a very tiny part of the art… what breaks the camel’s back for many of us is all the BS around it coming from management, investors, clueless middle managers, political business people, overcommitted salespeople, and the constantly changing tooling so that something you wrote 6–12 months ago won’t run today anymore without a variable amount of change and effort. Not to mention the layers upon layers upon layers of abstraction that make the whole thing inscrutable.

I think that’s what a lot of us are fed up with and mean with “programming has become absurd”
You are giving up a bit of entropy, yeah, but you still have 1022, it's probably safer than wondering if a 1020 bit prime is fine even if they asked for a 1024 bit one. Eg we usually don't consider 00042 a 5-digit number.

Technically probably depends on exactly what you're using it for which choice is optimal, but I'd think the one in the article is the safer default.
In my personal experience, lots of people were talking about it, including the White House; there were articles in the NY Times about it, etc.
Valorant developers speak out on Vanguard security concerns
Having co-founder DNA in the market is easiest, and second best is being open minded (ex: young and naive, a PhD, ...) and immerse yourself in the customer space. We did the latter, and it took us ~4 years to match our inhouse deep tech with customer problems, and another few years for the market to catch up. And now genAI has put it into overdrive, and our Product #2 (louie.ai) is much easier bc it is now more like Scenario 1.

For related reasons, I'm bullish on growing a consulting arm of most b2b startups to help accelerate this process + figuring out profitable scalable revenue.
Nationalism truly was the mindkiller that enabled WW1 and WW2. It's important to remember that although WW2 is rightfully remembered for the Holocaust, it was in essence an attempt at a European colonialism by Germany coupled with a Germanic ethno-nationalism (or more accurately: völkisch nationalism, which is still deeply entrenched today).

The racist pseudoscience of the Germanic übermensch served the same purpose as the skull measuring scientific racism used to justify the enslavement and extermination of the native population in African colonies. "Lebensraum" was just a Germanized version of Manifest Destiny.

The colonization of Africa, India and the Americas involved massive displacement of natives and mass killings that at least colloquially can best be described as genocides. Much the same way as forests were cleared to create farmland, native populations were cleared to create "living space" for settlers. Much like natural resources were exploited and brought back home, natives were used for manual labor until they were used up.

Nationalism allowed leaders to use a national identity to rally their subjects against their neighbors. In an act of massive hubris and severe underestimation of technological advancements this nationalist fervor led to the mass death event that was WW1. WW2 in turn built on this but also brought colonialism home with the explicit goal of not only redrawing borders but also repurposing the land and eliminating any natives standing in the way.

I.e. Poland may have engaged in nationalist assimilation in the form of Polonizing Lithuania but Germany explicitly wanted to remove anyone not part of the "volk", at the barrel of a gun if necessary.
Show HN: Lightsaber Battle – May the Fourth Be with You
Hey folks, join me in a lightsaber battle! I love Star Wars and may 4th is a special day for me, so I made this little thing. You can change the saber color and background. Let me know what you guys think and May the Fourth be With You
Domain expertise and narrow models can definitely be an advantage but you need to be somewhat successful before you can get sufficient data to train or refine a model with sufficient domain expertise to be a differentiator.

You definitely do not need to train your own base model to be successful, but if your entire pipeline is a system prompt or three in a small agent graph... You didn't build a product, you built a hobby tool over the weekend no matter how much UX/UI polish you put on it.

I do think this question, and many start-ups are thinking about how they want that sweet AI money and are starting their business from there rather than from a problem. If you see a problem that is labor intensive and could be done by mechanical turk... Well you're probably on to something and an AI language model can probably solve that problem.

The companies and AI products I think that are going to last either aren't starting with AI they're focusing on a problem and have reasoned their way to AI OR they're doing some deep stealth research into the problem over a long period of time to be able to develop domain-specific data, techniques, and plans so they can fine-tune their own model before ever showing it to a potential customer. You better be sure you have a good plan if you're going to try and be the latter.
Why do people need 200 mile range for an EV?

For example, my daily mileage averages about 5 miles. As an errand-runner, a 30 mile EV would be very practical. The huge benefit of this is a smaller and cheaper battery, and the biggie - much less weight. Much less weight leads to much less tire/brake wear and tire/brake dust pollution.

I'd still have a second gas car for the trips.
I’m guessing a lot of people here are nearer to 40 than 30.

Tell us how many 40-somethings you rec’d when they were on the other side of the desk.
Lithium Ion rely on cobalt nickel, but LFP do not, and also do not have the thermal runaway problems that lithium ion batteries do. This is close to being a solved problem.
> how would it fix things then if it wasn't private equity dominating that market?

I'd start importing them for less than $500 from India [1]. (Versus $1,500 to $6,000 for these jalopies.)

[1] https://www.amazon.in/electric-wheelchair/s?k=electric+wheel...
> I've interviewed people who claimed to be practicing engineers for 5+ years, and had big name companies on their resume, but became lost when asked to write a simple (no trick question) program in a language of their choice.

I always ask people to stand back and consider if this is actually possible.

Someone who has been at a big name company writing code for 5+ years clearly has been writing code. (You can confirm this with the company as HR will issue a statement saying J.Doe worked there from date to date and what job title they had.)

So there's two possibilities. Either they've been writing code at a known company for 5+ years and can't write an if statement. Or, they can but are too stressed by the interview setup they don't even remember their own name.

The latter is about 1000x more likely than the former. If they truly can't write an if statement, they would've been PIP'd out of that large company before 5+ years.
> 600 megawatts annually

No.
Doctors are service providers with lots of expertise on the empirical/technical side of the question, and no relevant expertise whatsoever on the normative side of the question.

Doctors are a great resource to consult if you want to understand the expected probability distribution of any particular course of treatment [1], but whether that treatment is worth the costs/risks is a value judgment, subjective to each individual, for which the technical expert's opinion has no special weight.

Doctors -- and regulatory agencies -- are doing their jobs when they do their best to provide enough information for patients to make an informed decision. They are doing something profoundly immoral and unconscionable when they attempt to usurp their patients' decision-making agency by confusing their technical expertise with normative authority.

----

[1]: And it's worth noting that expertise consists entirely of having valid knowledge of the relevant science. Properly understood, they are aggregators of scientific data, not sources of validity or authority in their own right. Any attempt to substitute their own opinions or value judgements for valid science is a breach of fiduciary duty.

And if there are valid, replicable studies that are relevant to a patient's decision, but which they are unfamiliar with, then their expertise is incomplete, and their conclusions are insufficient to rely on.
Having to take a medicine every day for the rest of your life instead of just not stuffing your face is positive potential for you? Jesus Christ.
The current state of the art is somewhere in between with 18 minutes per ~3 hours. It even helps to split charging into shorter sessions (2x 9 minutes), because batteries charge fastest when they're about 25% full.

Keep in mind that EVs charge unattended, so you only spend a minute plugging in, and can leave to get a coffee, etc.
Engineers create dissolving circuit boards that can be recycled
Oh some German books were burned, while most of Poland's then inteligencia lie in a mass grave courtesy said Russians.
ZK in statefulsets can still get wedged super hard, especially if you power cycle all the nodes. It's pretty unpleasant.